Modeling and fault detection of brushless direct current motor by deep learning sensor data fusion

HIGHLIGHTS

• who: Priscile Suawa and collaborators from the Department of Computer Engineering, Brandenburg University of Technology Cottbus-Senftenberg have published the Article: Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion, in the Journal: Sensors 2022, 22, 3516. of 21/04/2022
• what: With a dataset such as vibration and sound from the authors focus on studying paradigms that orchestrate the most optimal combination of with deep learning sensor fusion algorithms to enable predictive maintenance. To diagnose BLDC motor faults this work proposes to use data-level sensor fusion with . . .
  

   

  

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